Comparison of GPS-derived peak running speed and accelerometer-derived metrics during submaximal running tests for monitoring neuromuscular fatigue in soccer players
International Journal of Sports Science and Coaching, 2026 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1177/17479541261474776
- Dergi Adı: International Journal of Sports Science and Coaching
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Psycinfo, SportDiscus
- Anahtar Kelimeler: Athlete monitoring, fatigue, global positioning system, Groucho running pattern, spring-mass model
- Gazi Üniversitesi Adresli: Evet
Özet
This research aims to compare the parameters (Peak running speed and Player Load™ (A.U.)) of a submaximal run test (SRT) and a countermovement jump (CMJ) test used to assess neuromuscular fatigue (NMF) in soccer players. To achieve this, we employed a longitudinal repeated-measures design to assess fatigue-induced changes across multiple time points. Twenty male soccer players volunteered to participate in the study. Participants performed SRT and CMJ tests 24 h pre-game, 24 h post-game, and 48 h post-game. The differences in NMF measurements at these three times were analyzed by repeated measures analysis of variance (ANOVA). The reliability of all NMF measurements was examined based on the coefficient of variation (CV) %, standard error measurement (SEM), and minimum detectable change (MDC95) analysis. There were statistically significant differences between 24 h pre-game, 24 h post-game and 48 h post- game measurements regarding CMJ height (cm); (F = 16.995; p ≤ .001; η2p = 0.472), and SRT parameters; player load 1D up (PL1Dup) (A.U.) (F = 27.386; p ≤ .001; η2p = 0.590), player load 1D side (PL1Dside) (A.U.) (F = 21.556; p ≤ .001; η2p = 0.532), player load 1D forward (PL1Dfwd) (A.U.) (F = 13.590; p ≤ .001; η2p = 0.417), total player load (TPL1D) (A.U.) (F = 21.337; p ≤ .001; η2p = 0.529) and peak speed (m/s) (F = 21.556; p ≤ .001; η2p = 0.532). In conclusion, these findings suggest that peak speed monitoring may serve as a valuable, time-efficient complement to traditional fatigue assessment tools, providing practitioners with a practical, accessible framework for managing player recovery in professional soccer environments.